With the development of chatbot technology like ChatGPT, it has attracted attention from major technology companies. Artificial intelligence (AI) technology continues to be a major driver of innovation and growth in the technology industry. In this article, let’s take a look at the Top 9 leading AI technologies today.
What is Artificial Intelligence (AI) Technology?
Artificial intelligence (AI) is basically intelligence displayed by machines, simulating human behavior or thinking, and can be trained to solve specific problems. AI technology is a combination of Machine Learning and Deep Learning algorithms.
These types of AI models are trained using massive amounts of data and are capable of making intelligent decisions. To better understand AI, readers can refer to the article below.
Top 9 Most Interesting AI Technologies Today
Artificial intelligence technology has been making waves in recent years, and its potential seems limitless. From customer service to the banking and finance sector, AI is having a significant impact on various industries, and this trend will continue.
Below are the Top 9 leading artificial intelligence technologies today.
1. Natural Language Generation
Even humans can encounter some difficulties when communicating effectively and clearly. Similarly, for machines to process information is a completely different process from that of the human brain, and this process is extremely difficult and complex.
Natural Language Generation is a branch of artificial intelligence technology capable of converting text into data and helping systems communicate ideas and thoughts as clearly as possible. This technology is widely used in customer service to create reports and market summaries.
2. Natural Language Understanding
Natural Language Understanding (NLU) is a technology developed based on artificial intelligence that allows machines to understand human language. This technology sorts out mispronunciations, grammatical errors, misspelled words, and sentences to determine a person’s true intention. To do this, NLU must analyze words, syntax, as well as the context and intent behind those words.
Natural Language Understanding (NLU) connects to deeper meanings and purposes in human communication, such as emotions, goals, or motivations. NLU uses algorithms and artificial intelligence (AI) technology, supported by massive datasets, to interpret human language.
3. Speech Recognition
As the name suggests, speech recognition uses artificial intelligence technology to convert human speech into a format accessible to computers. This process is very useful and acts as a bridge in the interaction between humans and computers.
By using speech recognition technology, computers can understand human speech in several natural languages. This also allows computers to interact faster and more smoothly with humans.
4. Machine Learning Platforms
Machine learning is a crucial branch of artificial intelligence technology, focusing on training a machine (computer) to be able to learn and think for itself. Machine learning typically uses many complex algorithms to train the machine.
In this process, the machine is provided with a set of training data, classified or unclassified, related to a specific or general domain. The machine then analyzes the data, draws inferences, and stores them for future use. When the machine encounters any other sample data of the domain it has learned, it uses the stored inferences to draw the necessary conclusions and provide appropriate feedback.
With the help of algorithms, APIs (Application Programming Interfaces), development tools, training, big data, and applications, machine learning platforms are becoming increasingly popular.
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5. Virtual Assistant
The term virtual assistant refers to a computer agent or program capable of interacting effectively with humans. Quite common in the customer service field, virtual assistants are developed based on a combination of artificial intelligence programming, machine learning, natural language processing, etc., to understand customers and their problems and questions.
The effectiveness of a virtual assistant depends on its complexity and the technology used. These systems are widely used today through various applications such as chatbots, networking systems, etc. These systems are capable of interacting with humans effectively.
6. Decision Management
Decision management systems rely heavily on the ability of artificial intelligence technology to interpret and transform data into predictive models. In the long term, these models help organizations make necessary and effective decisions.
These systems are widely used in many businesses to support automated decision-making for any individual or organization using them.
7. Deep Learning
Deep learning is a specialized branch of machine learning based on artificial neural networks. In this process, learning is performed at different levels, where each level is capable of transforming the input dataset into synthetic and abstract representations.
The term “deep” in Deep Learning refers to the number of levels of data transformation performed by a computer system. This technology is applied in many different fields such as Computer Vision, news aggregation (based on emotions), developing effective chatbots, automatic translation, rich customer experiences, etc.
8. Process Automation with Robots
Artificial intelligence technology is also used in many fields to automate various processes. Although manual robots are capable of completing tasks, they lack the necessary automation features to complete tasks without human intervention.
However, it is important to note that the application of AI technology in the field of automation is not intended to replace humans but only as a supporting tool.
9. Text Analysis
Text analysis can be defined as the analysis of text structure. Intelligent artificial intelligence systems use text analysis to interpret and understand the structure, meaning, and intent of the text they encounter.
Such systems are found in fraud detection and security systems. A system powered by artificial intelligence (AI) technology can distinguish between any two types of text patterns without any human intervention. This independence makes such a system more efficient, productive, and faster than similar human-based systems.
The above are the top 9 leading AI technologies today. AI technology is integrated into various fields and business activities and has created a huge impact thanks to its ability to automate most processes with minimal human intervention. The chart shows that AI technology is expected to continue to “heat up” in the near future and be applied in more industries and fields.
